Multi-models and dual-sampling periods quality prediction with time-dimensional K-means and state transition-LSTM network

Robust PD-type iterative learning control for discrete systems with multiple time-delays subjected to polytopic uncertainty and restricted frequency-domain

(2021) Hongfeng Tao et al.   MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING

Input-to-state stability of impulsive reaction–diffusion neural networks with infinite distributed delays

(2021) Tengda Wei et al.   NONLINEAR DYNAMICS

Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process

(2021) Chenliang Liu et al.   INFORMATION SCIENCES

Input selection methods for data-driven Soft Sensors design: application to an industrial process

(2020) Francesco Curreri et al.   INFORMATION SCIENCES

Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit

(2020) Xiaofeng Yuan et al.   INFORMATION SCIENCES

Distributed-ensemble stacked autoencoder model for non-linear process monitoring

(2020) Zhichao Li et al.   INFORMATION SCIENCES

Information synergy entropy based multi-feature information fusion for the operating condition identification in aluminium electrolysis

(2020) Zuguo Chen et al.   INFORMATION SCIENCES

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

(2019) Yishun Liu et al.   KNOWLEDGE-BASED SYSTEMS

Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning

(2019) Xiongtao Shi et al.   NEUROCOMPUTING

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Soft sensor based on stacked auto-encoder deep neural network for air preheater rotor deformation prediction

(2018) Xiao Wang et al.   ADVANCED ENGINEERING INFORMATICS

Fault Detection for Non-Gaussian Processes Using Generalized Canonical Correlation Analysis and Randomized Algorithms

(2018) Zhiwen Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

(2018) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

A data-driven optimal control approach for solution purification process

(2018) Bei Sun et al.   JOURNAL OF PROCESS CONTROL

Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes

(2018) Cuie Yang et al.   IEEE Transactions on Automation Science and Engineering

Probabilistic Sequential Network for Deep Learning of Complex Process Data and Soft Sensor Application

(2018) Qingqiang Sun et al.   IEEE Transactions on Industrial Informatics

Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction

(2018) Kai Wang et al.   IEEE Transactions on Industrial Informatics

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Review of soft sensor methods for regression applications

(2016) Francisco A.A. Souza et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Data-driven soft sensor development based on deep learning technique

(2014) Chao Shang et al.   JOURNAL OF PROCESS CONTROL

Multi-mode acid concentration prediction models of cold-rolled strip steel pickling process

(2014) He Fei et al.   JOURNAL OF PROCESS CONTROL

Modeling of the Thermal State Change of Blast Furnace Hearth With Support Vector Machines

(2011) Chuanhou Gao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Nonlinear control of debutanizer column using profile position observer

(2009) Sourabh Gupta et al.   COMPUTERS & CHEMICAL ENGINEERING

Data-driven Soft Sensors in the process industry

(2009) Petr Kadlec et al.   COMPUTERS & CHEMICAL ENGINEERING

Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry

(2007) Manabu Kano et al.   COMPUTERS & CHEMICAL ENGINEERING